CHI@Edge | Education
  • CHI@Edge Education
    • Module I - Autonomous Vehicles
      • FOR EDUCATORS
      • Self-Learners
      • Pathways
        • TA Guide
        • Regular Pathway
          • Background Information
            • Software for the Project
            • Edge Devices
            • Machine Learning
            • Chi@Edge
          • Buying or Building Your Own Car
          • Adding Pi and Leasing Chameleon Node
            • Reserving your Pi on CHI@Edge
          • Car Assembly
          • Car Calibration
          • Collecting Data
          • Cleaning Data
          • Configuring Chameleon Node for Training
          • Syncing Data from Pi to Training Node
          • Training the Model
          • Syncing Model to Car
          • Running the Model
          • (Optional) Using Chameleon Object Store
          • (Optional) Simulator Setup
          • (Optional) Assignment: Extending CHI@Edge Autonomous Cars
            • Possible extensions
            • Evaluation of Different Model Types
        • Classroom Pathway
          • (Optional) Background Information
            • Software for the Project
            • Edge Devices
            • Machine Learning
            • Chi@Edge
          • (TA) Buying or Building Your Own Car
          • (TA) Adding Pi and Leasing Chameleon Node
            • Reserving your Pi on CHI@Edge
          • (TA) Car Assembly
          • (TA) Configuring Chameleon Node for Training
          • (TA) Adding Access from Pi to Training Node
          • Car Calibration
          • Collecting Data
            • Moving Data from Pi to Chameleon Node
          • Cleaning Data
          • Training the Model
          • Syncing Model to Car
          • Running the Model
          • (Optional) Assignment: Extending CHI@Edge Autonomous Cars
            • Possible extensions
        • Digital Pathway
          • Background Information
            • Software for the Project
            • Machine Learning
          • Simulator Setup
          • Collecting Data
          • Cleaning Data
          • Reserve a Bare-Metal Node
          • Configuring Chameleon Node for Training
          • Syncing Data from Local Computer to Training Node (Digital Version)
          • Training the Model
          • Syncing Model to Local Computer
          • Running the Model in Simulator
          • Possible extensions
      • FAQ
      • References
      • Resources
  • README: Pathway Structure
  • Contributing Community Modules
  • How to Provide Feedback
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Last updated 1 year ago

Donkeycar

Donkeycar is an open-source self-driving car platform. It allows hobbyists and raspberry pi enthusiasts to implement self-driving in their RC (remote-controlled) cars without having to mess with the low-level details. Donkeycar has an extensive community working to expand the software and make Donkeycar more accessible.

We chose to use Donkeycar because of its high-level abstraction and ease of experimentation. Donkeycar bridges the gap between the hardware of your car and the machine learning implemented in Python so that the experimenter does not need to worry about writing code.

To learn more about Donkeycar you can visit the and also read the .

Additional Skills and Software

  • Python: Basic Programming Skills to Understand Code

  • UNIX: Familiarity with Command Line Interface and Commands

  • Chameleon Cloud: Cloud testbed software

    • CHI@Edge: Edge deployment software

Note: We have reduced the barrier to entry for this project as much as possible.

Donkeycar website
Donkeycar docs
w3schools tutorial
tutorialspoint helpful Unix commands
Chameleon Docs
Chi@Edge Docs
  • Donkeycar
  • Additional Skills and Software
PreviousBackground InformationNextMachine Learning
  1. CHI@Edge Education
  2. Module I - Autonomous Vehicles
  3. Pathways
  4. Digital Pathway
  5. Background Information

Software for the Project

An Overview of the Various Softwares Employed by this Project